Four-dimensional Variational Data Assimilation and GPS Data Impact Study Using NCEP Global Model

9812729邹，佛罗里达州立大学“四维变分资料同化和GPS数据影响研究使用NCEP全球模式”邹博士与美国国家气象局国家环境预报中心（NCEP）的科学家合作，将建立一个四维变分资料同化系统，用于业务NCEP全球预报模式。 该系统将采用NCEP模式的全物理版本的伴随。 然后，PI将评估在同化过程中使用（1）全物理（与简单）版本的模型的价值，以及（2）四维与[当前业务运行]三维数据同化系统的价值。 除了提高更好的天气预报的潜力外，这种系统还可用于各种研究问题，包括测试未来各种观测系统的潜在影响，这些系统产生的观测结果在空间和时间上都不规则。

9812729Zou, Florida State University "Four-dimensional Variational Data Assimilation and GPS Data Impact Study Using the NCEP Global Model" Dr. Zou, in collaboration with scientists at the National Centers for Environmental Prediction (NCEP) of the National Weather Service, will build a four-dimensional variational data assimilation system to be used with the operational NCEP global forecast model. The system will employ the adjoint of a full-physics version of the NCEP model. The PI will then assess the value of using (1) a full-physics (vs. a simpler) version of the model in the assimilation process and (2) a four-dimensional versus the [current operationally run] three-dimensional data assimilation system. In addition to improving the potential for better weather forecasts, such a system could be used for a variety of research problems, including testing the potential impact of various future observing systems that produce observations that are spatially and temporally irregular.